|Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery|
SE Viswanath, NB Bloch, JC Chappelow, R Toth, NM Rofsky, EM Genega, ...
Journal of Magnetic Resonance Imaging 36 (1), 213-224, 2012
|Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study|
J Antunes, S Viswanath, M Rusu, L Valls, C Hoimes, N Avril, ...
Translational Oncology 9 (2), 155-162, 2016
|Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection|
P Tiwari, S Viswanath, J Kurhanewicz, A Sridhar, A Madabhushi
NMR in Biomedicine 25 (4), 607-619, 2012
|Computer assisted diagnosis (CAD) of cancer using multi-functional, multi-modal in-vivo magnetic resonance spectroscopy (MRS) and imaging (MRI)|
MD Feldman, S Viswanath, P Tiwari, R Toth, A Madabhushi, ...
US Patent 8,295,575, 2012
|Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI|
R Shiradkar, TK Podder, A Algohary, S Viswanath, RJ Ellis, ...
Radiation oncology 11 (1), 1-14, 2016
|A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI|
S Viswanath, BN Bloch, E Genega, N Rofsky, R Lenkinski, J Chappelow, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2008
|Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: preliminary findings|
A Algohary, S Viswanath, R Shiradkar, S Ghose, S Pahwa, D Moses, ...
Journal of Magnetic Resonance Imaging 48 (3), 818-828, 2018
|Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI|
S Viswanath, BN Bloch, M Rosen, J Chappelow, R Toth, N Rofsky, ...
Medical Imaging 2009: Computer-Aided Diagnosis 7260, 72603I, 2009
|Novel PCA‐VIP scheme for ranking MRI protocols and identifying computer‐extracted MRI measurements associated with central gland and peripheral zone prostate tumors|
SB Ginsburg, SE Viswanath, BN Bloch, NM Rofsky, EM Genega, ...
Journal of Magnetic Resonance Imaging 41 (5), 1383-1393, 2015
|A review of machine learning in obesity|
KW DeGregory, P Kuiper, T DeSilvio, JD Pleuss, R Miller, JW Roginski, ...
Obesity Reviews 19 (5), 668-685, 2018
|Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI|
S Viswanath, BN Bloch, J Chappelow, P Patel, N Rofsky, R Lenkinski, ...
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 79630U, 2011
|Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI|
D Palumbo, B Yee, P O'Dea, S Leedy, S Viswanath, A Madabhushi
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
|Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data|
P Tiwari, S Viswanath, G Lee, A Madabhushi
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
|Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings|
G Penzias, A Singanamalli, R Elliott, J Gollamudi, N Shih, M Feldman, ...
PloS one 13 (8), e0200730, 2018
|Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer|
S Viswanath, R Toth, M Rusu, D Sperling, H Lepor, J Futterer, ...
Neurocomputing 144, 13-23, 2014
|Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation|
L Li, S Pahwa, G Penzias, M Rusu, J Gollamudi, S Viswanath, ...
Scientific Reports 7 (1), 8717, 2017
|Enhanced multi-protocol analysis via intelligent supervised embedding (empravise) for multimodal data fusion|
A Madabhushi, S Viswanath
US Patent 9,159,128, 2015
|Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy|
GJS Litjens, HJ Huisman, RM Elliott, NN Shih, MD Feldman, ...
Journal of Medical Imaging 1 (3), 035001, 2014
|Empirical evaluation of bias field correction algorithms for computer aided detection of prostate cancer on t2w mri|
S Viswanath, D Palumbo, J Chappelow, P Patel, BN Bloch, N NRofsky, ...
SPIE Medical Imaging 7963, 79630V-12, 2011
|Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer|
J Chappelow, S Viswanath, J Monaco, M Rosen, J Tomaszewski, ...
Medical Imaging 2008: Computer-Aided Diagnosis 6915, 69150V, 2008